StatsTest Blog
Experimental design, data analysis, and statistical tooling for modern teams. No hype, just the math.
Negative Binomial Regression
Negative Binomial Regression models overdispersed count data where the variance exceeds the mean. Use it when Poisson regression is too restrictive for your event counts.
Poisson Regression
Poisson Regression models count data and event rates. Use it when your outcome is a count of events (e.g., clicks, errors, purchases) and you want to understand which factors affect the rate.
Linear Discriminant Analysis
Linear Discriminant Analysis is a statistical test used to predict a single categorical variable using one or more other continuous variables.
Mixed Effects Logistic Regression
Mixed effects logistic regression is a statistical method used to predict a binary variable with one or more other variables with repeated measures.
Mixed Effects Model
A mixed effects model is used for determining the effects of one or more independent variables on a dependent variable when there are repeated measures from the same unit of observation.
Multinomial Logistic Regression
Multinomial Logistic Regression is a statistical test used to predict a single categorical variable using one or more other variables.
Multiple Linear Regression
Multiple Linear Regression is a method used for predicting one continuous variable using one or more other variable or for understanding the numerical relationship between then.
Multiple Logistic Regression
Multiple Logistic Regression is a statistical test used to predict a single binary variable using one or more other variables.
Multivariate Multiple Linear Regression
Multivariate multiple linear regression is a statistical method used to predict one or more dependent variables using one or more independent variables.
Ordinal Logistic Regression
The StatsTest Flow: Prediction >> Ordered Categorical Dependent Variable Not sure this is the right statistical method? Use the Choose Your StatsTest workflow to select the righ...
Simple Linear Regression
Simple Linear Regression is a method used for predicting one continuous variable using one other variable or for understanding the numerical relationship between then.
